Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Micro-Expression Recognition Enhanced by Macro-Expression from Spatial-Temporal Domain
IJCAI 2021
Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health
EMNLP 2021
MIDAS: A Dialog Act Annotation Scheme for Open Domain HumanMachine Spoken Conversations
EACL 2021
Miðeind’s WMT 2021 Submission
EMNLP 2021
MilaNLP @ WASSA: Does BERT Feel Sad When You Cry?
EACL 2021
MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization
AAAI 2021
MinD at SemEval-2021 Task 6: Propaganda Detection using Transfer Learning and Multimodal Fusion
SemEval 2021
Mind the Box: l_1-APGD for Sparse Adversarial Attacks on Image Classifiers
ICML 2021
Mind the Gap: Assessing Temporal Generalization in Neural Language Models
NeurIPS 2021
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer
EMNLP 2021
Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering
ACL 2021
Minimal Adversarial Examples for Deep Learning on 3D Point Clouds
ICCV 2021
Minimally Invasive Surgery for Sparse Neural Networks in Contrastive Manner
CVPR 2021
Minimal Supervision for Morphological Inflection
EMNLP 2021
Minimax Model Learning
AISTATS 2021
Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers
NeurIPS 2021
Minimax Regret for Stochastic Shortest Path with Adversarial Costs and Known Transition
COLT 2021
Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes
AAAI 2021
Minimizing Annotation Effort via Max-Volume Spectral Sampling
EMNLP 2021
Minimizing Labeling Cost for Nuclei Instance Segmentation and Classification with Cross-domain Images and Weak Labels
AAAI 2021
Mining Better Samples for Contrastive Learning of Temporal Correspondence
CVPR 2021
Mining Intelligent Patterns using SVAC for Precision Agriculture and Optimizing Irrigation (Student Abstract)
AAAI 2021
Mining Latent Classes for Few-Shot Segmentation
ICCV 2021
Mining the Benefits of Two-stage and One-stage HOI Detection
NeurIPS 2021
Mining the Cause of Political Decision-Making from Social Media: A Case Study of COVID-19 Policies across the US States
EMNLP 2021